Environnement informé sémantiquement enrichi pour la simulation multi-agents : application à la simulation en environnement virtuel 3D

Abstract : This thesis focuses on multi-agent simulation applied to the simulation of individuals in virtual 3D buildings. To do this, our work suggests to capitalize on the experience gained in the field of semantic web ontologies and inference engines to facilitate the design and development of intelligent behavior for agents operating in virtual worlds. The goal is to provide to agents a generic approach to managing their representation of the world and reason about this representation. For this, the central problem is based on the definition of a decidable ontology modeling all of the knowledge contained in the virtual 3D environment to enrich semantically the environment of a multi-agent simulation. This decidable ontology aims to provide an opportunity to integrate semantic inference engine at the heart of modeling behavior of mobile agents in a virtual environment.
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Thomas Durif. Environnement informé sémantiquement enrichi pour la simulation multi-agents : application à la simulation en environnement virtuel 3D. Web. Université de Bourgogne, 2014. Français. ⟨NNT : 2014DIJOS079⟩. ⟨tel-02318387⟩

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